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● PRINCIPAL INVESTIGATOR
Dr. Muhammad Attique Khan
Assistant Research Professor & Director, Deep Intelligence Lab · Prince Mohammad Bin Fahd University
Dr. Muhammad Attique Khan
Assistant Research Professor
Prince Mohammad Bin Fahd University, KSA
400
+
Publications
85
h-index
34
PhD Supervised
23
K
Citations
310
i10-index
40
+
MS Supervised
- 🎓 Google Scholar
- 🆔 0000-0002-6347-4890
- 🔬 ResearchGate
- 📧 mkhan3@pmu.edu.sa
Biography
Dr. Muhammad Attique Khan is an Assistant Research Professor and Director of the Deep Intelligence Lab at Prince Mohammad Bin Fahd University, Saudi Arabia. He is a globally recognized researcher in artificial intelligence, medical image analysis, and deep learning, with over 400 peer-reviewed publications accumulating 23,000+ citations (h-index: 85, i10-index: 310).
He has been consistently recognized by Stanford University as a Top 2% Scientist globally (2022, 2023, 2024). Dr. Khan has supervised 34 PhD and 40+ MS students across multiple institutions and countries, and serves on the editorial boards of more than 10 international journals including IEEE Access, Computers in Biology and Medicine, and Expert Systems with Applications.
Research Interests
Medical Image Analysis
Deep Learning
Federated Learning
Remote Sensing
Computer Vision
Gait Recognition
Biomedical Imaging
Pattern Recognition
Transfer Learning
Vision Transformers
Explainable AI
Education
PhD
PhD in Computer Science
COMSATS University Islamabad, Pakistan
MS
MS in Computer Science
University of Education, Lahore, Pakistan
BS
BS in Computer Science
University of Education, Lahore, Pakistan
Selected Awards & Honors
2024
Stanford Top 2% Scientists — 3rd Consecutive Year
Stanford University · Global Scientist Ranking
2023
HEC Best Research Award
Higher Education Commission, Pakistan
2022
Stanford Top 2% Scientists — First Ranking
Stanford University
2021
IEEE Senior Member
Institute of Electrical and Electronics Engineers
Editorial Board Memberships
2023–
Associate Editor — IEEE Access
Institute of Electrical and Electronics Engineers
2022–
Editorial Board — Computers in Biology and Medicine
Elsevier
2021–
Review Editor — Frontiers in Artificial Intelligence
Frontiers Media